These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

159 related articles for article (PubMed ID: 36959806)

  • 1. Cross-attention multi-branch CNN using DCE-MRI to classify breast cancer molecular subtypes.
    Sun L; Tian H; Ge H; Tian J; Lin Y; Liang C; Liu T; Zhao Y
    Front Oncol; 2023; 13():1107850. PubMed ID: 36959806
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Preoperative Non-Invasive Prediction of Breast Cancer Molecular Subtypes With a Deep Convolutional Neural Network on Ultrasound Images.
    Li C; Huang H; Chen Y; Shao S; Chen J; Wu R; Zhang Q
    Front Oncol; 2022; 12():848790. PubMed ID: 35924158
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Invasive ductal breast cancer molecular subtype prediction by MRI radiomic and clinical features based on machine learning.
    Sheng W; Xia S; Wang Y; Yan L; Ke S; Mellisa E; Gong F; Zheng Y; Tang T
    Front Oncol; 2022; 12():964605. PubMed ID: 36172153
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Prediction of breast cancer molecular subtypes using DCE-MRI based on CNNs combined with ensemble learning.
    Sun R; Meng Z; Hou X; Chen Y; Yang Y; Huang G; Nie S
    Phys Med Biol; 2021 Aug; 66(17):. PubMed ID: 34330117
    [TBL] [Abstract][Full Text] [Related]  

  • 5. A Deep Learning Model for Predicting Molecular Subtype of Breast Cancer by Fusing Multiple Sequences of DCE-MRI From Two Institutes.
    Xie X; Zhou H; Ma M; Nie J; Gao W; Zhong J; Cao X; He X; Peng J; Hou Y; Zhao F; Chen X
    Acad Radiol; 2024 Apr; ():. PubMed ID: 38637240
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Identification of Luminal A breast cancer by using deep learning analysis based on multi-modal images.
    Liu M; Zhang S; Du Y; Zhang X; Wang D; Ren W; Sun J; Yang S; Zhang G
    Front Oncol; 2023; 13():1243126. PubMed ID: 38044991
    [TBL] [Abstract][Full Text] [Related]  

  • 7. MOB-CBAM: A dual-channel attention-based deep learning generalizable model for breast cancer molecular subtypes prediction using mammograms.
    Nissar I; Alam S; Masood S; Kashif M
    Comput Methods Programs Biomed; 2024 May; 248():108121. PubMed ID: 38531147
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Multi-Parametric MRI-Based Radiomics Models for Predicting Molecular Subtype and Androgen Receptor Expression in Breast Cancer.
    Huang Y; Wei L; Hu Y; Shao N; Lin Y; He S; Shi H; Zhang X; Lin Y
    Front Oncol; 2021; 11():706733. PubMed ID: 34490107
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Breast Cancer Surrogate Subtype Classification Using Pretreatment Multi-Phase Dynamic Contrast-Enhanced Magnetic Resonance Imaging Radiomics: A Retrospective Single-Center Study.
    Kovačević L; Štajduhar A; Stemberger K; Korša L; Marušić Z; Prutki M
    J Pers Med; 2023 Jul; 13(7):. PubMed ID: 37511763
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Prediction of breast cancer molecular subtypes on DCE-MRI using convolutional neural network with transfer learning between two centers.
    Zhang Y; Chen JH; Lin Y; Chan S; Zhou J; Chow D; Chang P; Kwong T; Yeh DC; Wang X; Parajuli R; Mehta RS; Wang M; Su MY
    Eur Radiol; 2021 Apr; 31(4):2559-2567. PubMed ID: 33001309
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Breast MRI background parenchymal enhancement as an imaging bridge to molecular cancer sub-type.
    Dilorenzo G; Telegrafo M; La Forgia D; Stabile Ianora AA; Moschetta M
    Eur J Radiol; 2019 Apr; 113():148-152. PubMed ID: 30927939
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Is there a correlation between 3T multiparametric MRI and molecular subtypes of breast cancer?
    Montemezzi S; Camera L; Giri MG; Pozzetto A; Caliò A; Meliadò G; Caumo F; Cavedon C
    Eur J Radiol; 2018 Nov; 108():120-127. PubMed ID: 30396643
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Radiomic analysis reveals DCE-MRI features for prediction of molecular subtypes of breast cancer.
    Fan M; Li H; Wang S; Zheng B; Zhang J; Li L
    PLoS One; 2017; 12(2):e0171683. PubMed ID: 28166261
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Multi-input deep learning architecture for predicting breast tumor response to chemotherapy using quantitative MR images.
    El Adoui M; Drisis S; Benjelloun M
    Int J Comput Assist Radiol Surg; 2020 Sep; 15(9):1491-1500. PubMed ID: 32556920
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Prediction of Tumor Shrinkage Pattern to Neoadjuvant Chemotherapy Using a Multiparametric MRI-Based Machine Learning Model in Patients With Breast Cancer.
    Huang Y; Chen W; Zhang X; He S; Shao N; Shi H; Lin Z; Wu X; Li T; Lin H; Lin Y
    Front Bioeng Biotechnol; 2021; 9():662749. PubMed ID: 34295877
    [No Abstract]   [Full Text] [Related]  

  • 16. Predicting of axillary lymph node metastasis in invasive breast cancer using multiparametric MRI dataset based on CNN model.
    Zhang X; Liu M; Ren W; Sun J; Wang K; Xi X; Zhang G
    Front Oncol; 2022; 12():1069733. PubMed ID: 36561533
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Is simultaneous multi-slice readout-segmented echo-planar imaging valuable for predicting molecular subtypes of breast cancer?
    Li X; Zhu H; Sun K; Chai W; Fu C; Yan F
    Eur J Radiol; 2022 May; 150():110232. PubMed ID: 35259708
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Association between common risk factors and molecular subtypes in breast cancer patients.
    Turkoz FP; Solak M; Petekkaya I; Keskin O; Kertmen N; Sarici F; Arik Z; Babacan T; Ozisik Y; Altundag K
    Breast; 2013 Jun; 22(3):344-50. PubMed ID: 22981738
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Predicting the molecular subtype of breast cancer and identifying interpretable imaging features using machine learning algorithms.
    Ma M; Liu R; Wen C; Xu W; Xu Z; Wang S; Wu J; Pan D; Zheng B; Qin G; Chen W
    Eur Radiol; 2022 Mar; 32(3):1652-1662. PubMed ID: 34647174
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Prediction of Prognostic Factors and Genotypes in Patients With Breast Cancer Using Multiple Mathematical Models of MR Diffusion Imaging.
    Wang W; Zhang X; Zhu L; Chen Y; Dou W; Zhao F; Zhou Z; Sun Z
    Front Oncol; 2022; 12():825264. PubMed ID: 35174093
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 8.